We are looking for not just a Development Lead, but a Technological Leader for the digital health platform SberZdorovie who will build a next-generation engineering organization.
Responsibilities and tasks:
- Building an AI Native Engineering Organization;
- Implementing AI PDLC as the primary development process;
- Organizing the work of autonomous Tiny Teams;
- Creating a culture of continuous experimentation and rapid hypothesis-to-product deployment;
- Extensive use of AI to automate engineering activities;
- Reducing the time for the full Idea → Prototype → MVP → Production cycle;
- Forming an engineering culture where the speed of learning and innovation adoption becomes a key competitive advantage.
- Defining and implementing the technological strategy for the domain in collaboration with the Product Lead and business;
- Being responsible for the development and evolution of key products in the domain: next-generation mobile application, AI assistant, personalized risk profile platform, and intelligent services for improving life quality and longevity;
- Forming an AI Native engineering organization that ensures high speed of new product and feature delivery;
- Implementing modern AI PDLC practices at all stages of the AI product lifecycle — from idea and research to industrial operation;
- Organizing an effective research (R&D) process, rapid prototyping, and product hypothesis validation;
- Leading several autonomous engineering teams (Tiny Teams), ensuring their high efficiency and accountability for the end result;
- Developing Agentic AI development practices, AI Coding, and the use of AI tools for automating engineering activities;
- Forming a scalable AI-first product architecture that ensures rapid deployment of new models, services, and user scenarios;
- Managing solution architecture, technical debt, and technological risks;
- Ensuring the reliability, scalability, observability, and security of industrial-grade services;
- Developing an engineering culture based on automation, continuous learning, experimentation, and process improvement;
- Forming the technological roadmap for the domain and ensuring the achievement of business and product goals.
Required technical skills:
- Experience leading multiple engineering development teams for at least 2 years;
- Experience in creating and developing modern digital products with a high delivery speed of changes;
- Experience in forming and implementing product technology strategy;
- Practical experience in building industrial-grade mobile and backend product architecture;
- Experience in managing architecture, development quality, and technical debt;
- Practical experience in implementing AI PDLC or similar AI product development processes;
- Deep understanding of the AI product lifecycle: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement;
- Understanding of modern approaches to developing LLM applications, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration, and Retrieval-Augmented Generation (RAG);
- Practical experience using modern AI development tools (Cursor, Claude Code, GitHub Copilot, etc.);
- Experience in building R&D processes, rapid prototyping, and product hypothesis validation;
- Experience organizing the work of autonomous engineering teams (Tiny Teams);
- Experience in developing mobile applications and high-load backend services;
- Understanding of principles for building personalized digital services and working with user data;
- Understanding of modern DevSecOps, CI/CD, Observability, and Platform Engineering practices;
- Experience in effective interaction with product teams and business.
Will be an advantage:
- Experience creating AI-first products based on modern LLMs;
- Experience building agent platforms or multi-agent systems;
- Experience implementing AI Native Engineering in an engineering organization;
- Experience organizing AI Quality Engineering, Continuous Evaluation, and AI Observability processes;
- Experience creating personalized recommendation systems;
- Experience developing AI Copilot, AI Assistant, or AI Agent products;
- Experience in MedTech, HealthTech, Digital Health, or Wellness;
- Experience creating mobile consumer products with high daily user activity (DAU/MAU);
- Understanding of modern Product Discovery, Experiment Driven Development, and Lean Startup approaches.
What SberZdorovie can offer you:
- A strong team of professionals passionate about their work;
- Opportunities for development within a leading MedTech company in Russia;
- A comfortable office in the Technopark Plaza business center with panoramic city views and a hybrid work schedule;
- Corporate equipment;
- A medical program including telemedicine consultations, in-person visits to clinics, psychologists, dentistry, laboratory and instrumental diagnostics;
- Paid English language courses from YaPraktikum;
- We support an active lifestyle — choose sports you like (corporate squash, running, football sessions in Moscow or compensation for your sports club membership);
- SberUniversity and payment for specialized training and courses;
- SberPrime subscription, preferential mortgage conditions, partner discounts.
And also:
- They will always support you if you want to attend industry conferences, and even more so, speak at them;
- They communicate informally ("you"), dislike bureaucracy, and always help each other.
